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SAP C_DBADM_2601 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Installation and Configuration | - Initial configuration and setup - SAP HANA installation procedures |
| Monitoring and Performance Tuning | - Resource management - System monitoring tools (HANA Cockpit) - Performance analysis and troubleshooting |
| Security and Authorization | - Authentication and authorization concepts - Security roles and privileges |
| Database Administration | - Backup and recovery operations - User and role management - Schema and object administration |
| SAP HANA Architecture and Core Concepts | - In-memory database concepts - Tenant and system database concepts - SAP HANA system architecture overview |
SAP Certified - Database Administrator - SAP HANA Sample Questions:
1. A digital publishing company operates SAP HANA for subscriber activity reporting. Users report that dashboards are available, but refresh times vary sharply during the morning reporting window. SAP HANA cockpit shows no service outage, while monitoring history shows a recurring peak in expensive statement activity from a reporting workload. The database team is asked to increase system capacity immediately because the reports are business-critical.
The constraint is that the administrator must identify the execution pattern before recommending a capacity or scheduling change. The business requires stable refresh times, but the system must remain available during investigation.
Which action best fits the observed performance evidence?
A) Review the expensive statement pattern and workload timing, then apply a targeted scheduling or workload adjustment based on validated evidence.
B) Disable the reporting workload until the next maintenance window so all expensive statements are removed from the system.
C) Restart SAP HANA during the reporting window so existing expensive statements are cleared before users refresh dashboards.
D) Increase capacity immediately because dashboard variability always indicates insufficient database resources.
2. CHALLENGE 1 - Recovery Review Configuration Traceability
The recovery review coordinator wants to accept the comparison because patient-flow reports opened successfully. The database team later confirms that the upgraded reporting system's administration record does not reflect the configuration state used during testing. Which decision best supports readiness-quality evidence?
A) Use the comparison because report opening is sufficient evidence for operational sign-off.
B) Replace the upgraded system record with the SAP HANA Cloud provisioning record.
C) Treat the missing configuration evidence as unrelated because the review focuses on report access.
D) Update the administration record and reassess the readiness comparison against the confirmed state.
3. CHALLENGE 3 - Cloud Planning Evidence Separation
The modernization lead wants to include the SAP HANA Cloud environment in the same readiness status as the first close systems because the cloud database is provisioned and has limited reporting data. The cloud evidence package does not include matching monitoring or recovery validation. What is the best response?
A) Use the upgraded on-premises system's close evidence as the SAP HANA Cloud readiness record.
B) Stop cloud transition planning until the current close system is fully retired.
C) Keep cloud planning evidence separate until cloud-specific monitoring and recovery evidence are available.
D) Include the cloud database in the same status because provisioning and limited data prove readiness.
4. CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
The cutover team has two viable actions: tune workload-related settings now to improve carrier exception dashboards, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?
A) Tune now and use the improved response time as the main release readiness measure.
B) Replace monitoring review with warehouse supervisor feedback because the dashboard is user-facing.
C) Reject all tuning until the SAP HANA Cloud migration phase begins.
D) Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
5. A laboratory services company runs SAP HANA for sample throughput reporting. The database remains available, but SAP HANA cockpit shows a recurring warning for long-running statements during the evening batch reporting period. The reporting job completes, yet the next morning dashboard refresh is slower than expected. A support coordinator proposes increasing dashboard timeout values because the reports eventually finish.
The constraint is that the administrator must correct the operational cause rather than mask the symptom. The system must remain available, and any adjustment must be based on monitoring evidence from the affected execution window.
Which response best fits the monitoring evidence?
A) Analyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.
B) Disable the evening reporting job until dashboard refresh times return to the expected level.
C) Increase dashboard timeout values so users can wait longer for the morning refresh to complete.
D) Restart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |



